IBM SPSS Modeler vs TIBCO Data Science comparison

IBM and TIBCO are both solutions in the Data Science Platforms category. IBM is ranked #16 with an average rating of 7.5, while TIBCO is ranked #25. IBM holds a 3.5% mindshare in Data Science Platforms, compared to TIBCO’s 0.7% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,258 Views
1,558 Comparison Views

86% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

425 Views
408 Comparison Views

100% willing to recommend

IBM SPSS Modeler

TIBCO Data Science

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and TIBCO Data Science offer data analysis and predictive modeling solutions, competing in the analytics market. TIBCO Data Science offers a more extensive feature set, capturing the interest of data scientists with its advanced capabilities, potentially giving it an edge over IBM SPSS Modeler.

Features: IBM SPSS Modeler's user-friendly interface caters to both statistical and predictive analysis, offering robust machine learning algorithm support and smooth system integration. TIBCO Data Science stands out with advanced analytics, comprehensive data visualization options, and its proficiency in managing intricate data workflows, making it appropriate for complex projects.

Room for Improvement: IBM SPSS Modeler could benefit from enhanced data visualization capabilities and more extensive integration with other analytics tools. Its governance and security features could also be broadened. TIBCO Data Science may improve on simplifying its interface for new users, enhancing ease of use without compromising its robust functionality and expanding its real-time data processing abilities.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers seamless integration and quick deployment, often providing prompt support resolution ideal for existing workflows. TIBCO Data Science provides flexible deployment options and effective customer service, suitable for complex environments requiring comprehensive support.

Pricing and ROI: IBM SPSS Modeler generally offers a lower setup cost and faster ROI for businesses focused on standard predictive analytics, appealing to those with budget constraints. TIBCO Data Science may require a larger initial investment but offers substantial long-term benefits in complex analytics scenarios.

To learn more, read our detailed IBM SPSS Modeler vs. TIBCO Data Science Report (Updated: September 2025).

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM SPSS Modeler

Ranking in Data Science Platforms

16th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 3.5%, up from 2.5% compared to the previous year. The mindshare of TIBCO Data Science is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	3.5%
TIBCO Data Science	0.7%
Other	95.8%

Data Science Platforms

Featured Reviews

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is a great product for running statistical analysis."

"Compared to other tools, the product works much easier to analyze data without coding."

"Very good data aggregation."

"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."

"Automated modelling, classification, or clustering are very useful."

"The quality is very good."

"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

"Some basic form of feature engineering for classification models. This really quickens the model development process."

More IBM SPSS Modeler pros

"The most valuable feature is the performance."

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The idea that you don't have to generate reports each day but they are sent automatically is great."

"The most valuable feature is the ease of setting up visualizations."

Cons

"The platform's cloud version needs improvements."

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

"I think mapping for geographic data would also be a really great thing to be able to use."

"Requires more development."

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"C&DS will not meet our scalability needs."

More IBM SPSS Modeler cons

"The scripting for customization could be improved."

"I would like the visualization for the map of countries to be more easily configurable."

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

Pricing and Cost Advice

"$5,000 annually."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"It got us a good amount of money with quick and efficient modeling."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Government

11%

Educational Organization

10%

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

No data available

Questions from the Community

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

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What needs improvement with IBM SPSS Modeler?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a ...

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Product Reports

Buyer's Guide

IBM SPSS Modeler

September 2025

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Buyer's Guide

Data Science Platforms

September 2025

Download TIBCO Data Science product report

Also Known As

SPSS Modeler

Alpine Data Chorus

Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

Sample Customers

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

September 2025

Free Report: IBM SPSS Modeler vs. TIBCO Data Science

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